Extensions Hinge loss
^ duan, k. b.; keerthi, s. s. (2005). best multiclass svm method? empirical study . multiple classifier systems (pdf). lncs. 3541. pp. 278–285. doi:10.1007/11494683_28. isbn 978-3-540-26306-7.
^ doğan, Ürün; glasmachers, tobias; igel, christian (2016). unified view on multi-class support vector classification (pdf). j. machine learning research. 17: 1–32.
^ crammer, koby; singer, yoram (2001). on algorithmic implementation of multiclass kernel-based vector machines (pdf). j. machine learning research. 2: 265–292.
^ moore, robert c.; denero, john (2011). l1 , l2 regularization multiclass hinge loss models (pdf). proc. symp. on machine learning in speech , language processing.
^ weston, jason; watkins, chris (1999). support vector machines multi-class pattern recognition (pdf). european symposium on artificial neural networks.
Comments
Post a Comment